E. Šabanovič

Investigation of Deep Neural Networks for Hypoid Gear Signal Classification to Identify Anomalies

A. Kilikevičius, T. Žvirblis, Linas Petkevičius, 2021, 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE).

Autonomous road vehicles: recent issues and expectations

E. Šabanovič, Viktor Skrickij, V. Žuraulis, 2020, IET Intelligent Transport Systems.

Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications

G. Bureika, E. Šabanovič, Viktor Skrickij, 2021, Mechanical Systems and Signal Processing.

DEEP NEURAL NETWORK BASED DATA-DRIVEN VIRTUAL SENSOR IN VEHICLE SEMI-ACTIVE SUSPENSION REAL-TIME CONTROL

E. Šabanovič, Viktor Skrickij, Paulius Kojis, 2022, Transport.

Feasibility of Neural Network Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation

M. Dhaens, E. Šabanovič, Viktor Skrickij, 2021 .

Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation

Olegas Prentkovskis, Vidas Žuraulis, Viktor Skrickij, 2020, Sensors.

Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation

Miguel Dhaens, Eldar Sabanovic, Viktor Skrickij, 2021, Sensors.

Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension

M. Dhaens, E. Šabanovič, Viktor Skrickij, 2024, IEEE Access.